Dr. Damodar Sahu Joins Faceoff Technologies Inc. as Partner and Strategic Advisor for North America Business

 In an era of deepfakes, distrust, and digital deception, one AI company is rewriting the rulebook on truth. Now, with the strategic entry of Dr. Damodar Sahu, Faceoff is ready to take that mission global.

In a move that reflects the growing global urgency around digital trust, Dr. Damodar Sahu—celebrated voice in enterprise innovation, privacy advocate and ecosystem strategy, and Co-Founder & Chief Growth Officer at Data Safeguard Inc.—has joined Faceoff Technologies Inc. as Partner and Strategic Advisor for North America Business.

Known for his ability to bridge vision with scalable execution, Dr. Sahu's entry is expected to accelerate Faceoff’s mission: helping the world see truth clearly in a time when it's most obscured.

Reimagining Trust Through AI

Founded by Dr. Deepak Kumar Sahu, Faceoff Technologies emerged from a powerful question: What if machines could analyze trust—not just data?

What began in September 2021 as a research idea within a small team of technologists is today a breakthrough platform, combining biometric science, behavioral intelligence, and explainable AI into a 30-second video analysis that outputs a Trust Factor and Final Accuracy Score.

The implications? Profound. Whether it’s verifying a testimony, protecting digital identities, understanding a customer’s real sentiment, or catching misinformation before it spreads—Faceoff is ushering in a new era of AI with empathy, clarity, and responsibility.

"Truth isn’t just a value—it’s infrastructure," says Dr. Deepak Kumar Sahu.

“With Dr. Damodar Sahu now part of our journey, we’re not just growing a company—we're building a global movement that empowers organizations to make faster, fairer, and more informed decisions in an increasingly complex world."

A Partnership Rooted in Purpose

For Dr. Sahu, whose decades-long experience includes guiding Fortune 500 leaders and building global ecosystems, this is more than a professional engagement—it’s a calling.

"Faceoff has the rare blend of scientific brilliance and moral clarity.

In a world where perception often overshadows reality, Faceoff brings objectivity back to the table. I’m proud to be part of a company that believes in truth as a service,” says Dr. Damodar Sahu.

What Makes Faceoff Different?

Unlike traditional analytics platforms, Faceoff’s strength lies in its Multimodal Intelligence Engine—eight explainable AI models working in parallel to analyze a single 30-second video clip.

From deepfake detection and gaze tracking to emotion heatmaps and vocal stress cues, Faceoff fuses these signals into a cohesive trust score that’s both real-time and explainable.

But more than the tech—it’s the intent behind it.

Faceoff was incubated in India’s Belur Math and designed with a core philosophy: Technology must elevate truth, not obscure it.

Today, Faceoff is being piloted across law enforcement, healthcare, insurance, and customer experience analytics, with SDKs and enterprise tools on the horizon.

The Road Ahead: USA and Beyond

With Dr. Damodar Sahu’s guidance, Faceoff is entering its most crucial phase—scaling across the U.S. enterprise landscape and beyond.

His strategic vision, global network, and proven leadership will help Faceoff build alliances with institutions, innovators, and regulators shaping the future of responsible AI.

“In Faceoff, I see the future of digital integrity—rooted in science, committed to ethics, and built for real-world impact,” he added.

About Faceoff Technologies Inc. | Faceoff – The Future of Trust Detection

Faceoff Technologies Inc. is a Delaware-based AI startup on a mission to bring trust back to digital interaction. It offers a unique platform that uses biometric signals, behavioral cues, and deep learning to generate real-time trust assessments from short videos.

Faceoff’s Multimodal Intelligence Engine includes:

● Deepfake Detection

● Emotion Recognition

● Eye Gaze & Stress Analysis

● Audio & Vocal Cue Analysis

● Text and Linguistic Pattern Analysis

● Contextual Credibility Assessment

● Behavioral Pattern Recognition

● Cross-Modal Signal Correlation

Designed to be compliant, explainable, and scalable, Faceoff’s core outputs—Trust Factor and Final Accuracy Score—are helping institutions, enterprises, and platforms make trust-centric decisions at scale.